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An improved autodisturbance control method is proposed. By improving the tracking differentiator with adjustable parameters, the expanded state observer and the control structure obtained an improved automatic disturbance rejection control model and realized the optimal control of the nonlinear and large-delay systems. On the process control training system, the experiment of the continuous system process flow is compared with the anti-interference of the Smith predictive compensation system, which uses an optimal set of data. The reactor temperature fluctuates, but the self-resistance is improved. The optimal overshoot of the disturbance is close to 0. Compared with the original antidisturbance controller, the antidisturbance time is not affected by the number of iterations, which reduces the high requirements on the accuracy of the parameters. Therefore, the improved automatic disturbance rejection control improves the operation and enhances the ability to resist external disturbance that changes the controlled object.<\/jats:p>","DOI":"10.1155\/2020\/4519428","type":"journal-article","created":{"date-parts":[[2020,11,23]],"date-time":"2020-11-23T21:07:52Z","timestamp":1606165672000},"page":"1-14","source":"Crossref","is-referenced-by-count":5,"title":["Optimization and Realization of the Continuous Reactor with Improved Automatic Disturbance Rejection Control"],"prefix":"10.1155","volume":"2020","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6069-6973","authenticated-orcid":true,"given":"Mingsan","family":"Ouyang","sequence":"first","affiliation":[{"name":"School of Electrical and Information Engineering, State Key Laboratory of Deep Coal Mining Response and Disaster Prevention and Control, Anhui University of Science and Technology, Process Control Laboratory, Huainan, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5341-490X","authenticated-orcid":true,"given":"Yunlong","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Electrical and Information Engineering, State Key Laboratory of Deep Coal Mining Response and Disaster Prevention and Control, Anhui University of Science and Technology, Process Control Laboratory, Huainan, China"}]}],"member":"311","reference":[{"key":"1","doi-asserted-by":"publisher","DOI":"10.1109\/tla.2018.8327395"},{"key":"2","doi-asserted-by":"publisher","DOI":"10.1109\/ICEEE2.2018.8391333"},{"key":"3","doi-asserted-by":"publisher","DOI":"10.1016\/j.ces.2018.04.057"},{"key":"4","doi-asserted-by":"publisher","DOI":"10.1109\/ICCONS.2018.8663114"},{"key":"5","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2007.05.016"},{"key":"6","doi-asserted-by":"publisher","DOI":"10.1109\/tla.2020.9049458"},{"key":"7","doi-asserted-by":"publisher","DOI":"10.1109\/ICEES.2019.8719302"},{"key":"8","doi-asserted-by":"publisher","DOI":"10.1109\/ICETCCT.2017.8280312"},{"key":"9","doi-asserted-by":"publisher","DOI":"10.1016\/j.ifacol.2018.11.291"},{"key":"10","doi-asserted-by":"publisher","DOI":"10.1016\/j.epsr.2015.10.030"},{"issue":"3","key":"11","first-page":"866","article-title":"Application of a control strategy based on PWA model in continuous stirred reactor","volume":"67","author":"Y. 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